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Detail
Journal Article
Extracting Graphics Information for Better Video Compression
- Authors
- KangWoon Hong, Won Ryu, Jun Kyun Choi, Choong-Gyoo Lim
- Issue Date
- 2015-08
- Citation
- ETRI Journal, v.37, no.4, pp.743-751
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Abstract
- Cloud gaming services are heavily dependent on the efficiency of real-Time video streaming technology owing to the limited bandwidths of wire or wireless networks through which consecutive frame images are delivered to gamers. Video compression algorithms typically take advantage of similarities among video frame images or in a single video frame image. This paper presents a method for computing and extracting both graphics information and an object's boundary from consecutive frame images of a game application. The method will allow video compression algorithms to determine the positions and sizes of similar image blocks, which in turn, will help achieve better video compression ratios. The proposed method can be easily implemented using function call interception, a programmable graphics pipeline, and offscreen rendering. It is implemented using the most widely used Direct3D API and applied to a well-known sample application to verify its feasibility and analyze its performance. The proposed method computes various kinds of graphics information with minimal overhead.
- KSP Keywords
- Compression Algorithm, Frame image, Function call interception, Graphics pipeline, Real-time video streaming, Sample application, Video Compression, Wireless networks, cloud gaming, compression ratio, video frames